Examples with TensorList com.simiacryptus.mindseye.lang.TensorList used on opensource projects

Example 21 with TensorList

use of com.simiacryptus.mindseye.lang.TensorList in project MindsEye by SimiaCryptus.

the class AvgMetaLayer method eval.

@Nonnull
@Override
public Result eval(final Result... inObj) {
    final Result input = inObj[0];
    input.addRef();
    TensorList inputData = input.getData();
    final int itemCnt = inputData.length();
    @Nullable Tensor thisResult;
    boolean passback;
    if (null == lastResult || inputData.length() > minBatchCount) {
        @Nonnull final ToDoubleFunction<Coordinate> f = (c) -> IntStream.range(0, itemCnt).mapToDouble(dataIndex -> {
            Tensor tensor = inputData.get(dataIndex);
            double v = tensor.get(c);
            tensor.freeRef();
            return v;
        }).sum() / itemCnt;
        Tensor tensor = inputData.get(0);
        thisResult = tensor.mapCoords(f);
        tensor.freeRef();
        passback = true;
        if (null != lastResult)
            lastResult.freeRef();
        lastResult = thisResult;
        lastResult.addRef();
    } else {
        passback = false;
        thisResult = lastResult;
        thisResult.freeRef();
    }
    return new Result(TensorArray.create(thisResult), (@Nonnull final DeltaSet<Layer> buffer, @Nonnull final TensorList data) -> {
        if (passback && input.isAlive()) {
            @Nullable final Tensor delta = data.get(0);
            @Nonnull final Tensor[] feedback = new Tensor[itemCnt];
            Arrays.parallelSetAll(feedback, i -> new Tensor(delta.getDimensions()));
            thisResult.coordStream(true).forEach((inputCoord) -> {
                for (int inputItem = 0; inputItem < itemCnt; inputItem++) {
                    feedback[inputItem].add(inputCoord, delta.get(inputCoord) / itemCnt);
                }
            });
            delta.freeRef();
            @Nonnull TensorArray tensorArray = TensorArray.wrap(feedback);
            input.accumulate(buffer, tensorArray);
        }
    }) {

        @Override
        public boolean isAlive() {
            return input.isAlive();
        }

        @Override
        protected void _free() {
            thisResult.freeRef();
            input.freeRef();
        }
    };
}

Example 22 with TensorList

use of com.simiacryptus.mindseye.lang.TensorList in project MindsEye by SimiaCryptus.

the class CudaTensorList method addAndFree.

@Override
public TensorList addAndFree(@Nonnull final TensorList right) {
    assertAlive();
    right.assertAlive();
    if (right instanceof ReshapedTensorList)
        return addAndFree(((ReshapedTensorList) right).getInner());
    if (1 < currentRefCount()) {
        TensorList sum = add(right);
        freeRef();
        return sum;
    }
    assert length() == right.length();
    if (heapCopy == null) {
        if (right instanceof CudaTensorList) {
            @Nonnull final CudaTensorList nativeRight = (CudaTensorList) right;
            if (nativeRight.getPrecision() == this.getPrecision()) {
                if (nativeRight.heapCopy == null) {
                    assert (!nativeRight.gpuCopy.equals(CudaTensorList.this.gpuCopy));
                    CudaMemory rightMem = gpuCopy.memory;
                    CudaMemory leftMem = rightMem;
                    if (null != leftMem && null != rightMem)
                        return CudaSystem.run(gpu -> {
                            if (gpu.getDeviceId() == leftMem.getDeviceId()) {
                                return gpu.addInPlace(this, nativeRight);
                            } else {
                                assertAlive();
                                right.assertAlive();
                                TensorList add = add(right);
                                freeRef();
                                return add;
                            }
                        }, this, right);
                }
            }
        }
    }
    if (right.length() == 0)
        return this;
    if (length() == 0)
        throw new IllegalArgumentException();
    assert length() == right.length();
    return TensorArray.wrap(IntStream.range(0, length()).mapToObj(i -> {
        Tensor a = get(i);
        Tensor b = right.get(i);
        @Nullable Tensor r = a.addAndFree(b);
        b.freeRef();
        return r;
    }).toArray(i -> new Tensor[i]));
}

Example 23 with TensorList

use of com.simiacryptus.mindseye.lang.TensorList in project MindsEye by SimiaCryptus.

the class CudaTensorList method add.

@Override
public TensorList add(@Nonnull final TensorList right) {
    assertAlive();
    right.assertAlive();
    assert length() == right.length();
    if (right instanceof ReshapedTensorList)
        return add(((ReshapedTensorList) right).getInner());
    if (heapCopy == null) {
        if (right instanceof CudaTensorList) {
            @Nonnull final CudaTensorList nativeRight = (CudaTensorList) right;
            if (nativeRight.getPrecision() == this.getPrecision()) {
                if (nativeRight.heapCopy == null) {
                    return CudaSystem.run(gpu -> {
                        return gpu.add(this, nativeRight);
                    }, this);
                }
            }
        }
    }
    if (right.length() == 0)
        return this;
    if (length() == 0)
        throw new IllegalArgumentException();
    assert length() == right.length();
    return TensorArray.wrap(IntStream.range(0, length()).mapToObj(i -> {
        Tensor a = get(i);
        Tensor b = right.get(i);
        @Nullable Tensor r = a.addAndFree(b);
        b.freeRef();
        return r;
    }).toArray(i -> new Tensor[i]));
}

Example 24 with TensorList

use of com.simiacryptus.mindseye.lang.TensorList in project MindsEye by SimiaCryptus.

the class BiasMetaLayer method eval.

@Nullable
@Override
public Result eval(@Nonnull final Result... inObj) {
    final int itemCnt = inObj[0].getData().length();
    Tensor tensor1 = inObj[1].getData().get(0);
    final Tensor[] tensors = IntStream.range(0, itemCnt).parallel().mapToObj(dataIndex -> {
        Tensor tensor = inObj[0].getData().get(dataIndex);
        Tensor mapIndex = tensor.mapIndex((v, c) -> {
            return v + tensor1.get(c);
        });
        tensor.freeRef();
        return mapIndex;
    }).toArray(i -> new Tensor[i]);
    tensor1.freeRef();
    Tensor tensor0 = tensors[0];
    tensor0.addRef();
    Arrays.stream(inObj).forEach(nnResult -> nnResult.addRef());
    return new Result(TensorArray.wrap(tensors), (@Nonnull final DeltaSet<Layer> buffer, @Nonnull final TensorList data) -> {
        if (inObj[0].isAlive()) {
            data.addRef();
            inObj[0].accumulate(buffer, data);
        }
        if (inObj[1].isAlive()) {
            @Nonnull final ToDoubleFunction<Coordinate> f = (c) -> {
                return IntStream.range(0, itemCnt).mapToDouble(i -> {
                    Tensor tensor = data.get(i);
                    double v = tensor.get(c);
                    tensor.freeRef();
                    return v;
                }).sum();
            };
            @Nullable final Tensor passback = tensor0.mapCoords(f);
            @Nonnull TensorArray tensorArray = TensorArray.wrap(IntStream.range(0, inObj[1].getData().length()).mapToObj(i -> {
                if (i == 0)
                    return passback;
                else {
                    @Nullable Tensor map = passback.map(v -> 0);
                    passback.freeRef();
                    return map;
                }
            }).toArray(i -> new Tensor[i]));
            inObj[1].accumulate(buffer, tensorArray);
        }
    }) {

        @Override
        protected void _free() {
            tensor0.freeRef();
            Arrays.stream(inObj).forEach(nnResult -> nnResult.freeRef());
        }

        @Override
        public boolean isAlive() {
            return inObj[0].isAlive() || inObj[1].isAlive();
        }
    };
}

Example 25 with TensorList

use of com.simiacryptus.mindseye.lang.TensorList in project MindsEye by SimiaCryptus.

the class BinaryNoiseLayer method eval.

@Override
public Result eval(@Nonnull final Result... inObj) {
    Arrays.stream(inObj).forEach(nnResult -> nnResult.addRef());
    final Result input = inObj[0];
    if (!enabled)
        return input;
    @Nonnull final int[] dimensions = input.getData().getDimensions();
    if (maskList.size() > 1 && !Arrays.equals(maskList.get(0).getDimensions(), dimensions)) {
        maskList.clear();
    }
    final int length = input.getData().length();
    @Nonnull final Tensor tensorPrototype = new Tensor(dimensions);
    while (length > maskList.size()) {
        maskList.add(tensorPrototype.map(v -> FastRandom.INSTANCE.random() < getValue() ? 0 : (1.0 / getValue())));
    }
    @Nonnull final TensorList mask = TensorArray.create(maskList.stream().limit(length).toArray(i -> new Tensor[i]));
    return new Result(mask, (@Nonnull final DeltaSet<Layer> buffer, @Nonnull final TensorList data) -> {
        data.addRef();
        input.accumulate(buffer, data);
    }) {

        @Override
        protected void _free() {
            Arrays.stream(inObj).forEach(nnResult -> nnResult.freeRef());
        }

        @Override
        public boolean isAlive() {
            return input.isAlive();
        }
    };
}